Data Scientist, Machine Learning

Placements24; Queenstown; Hybrid; NZD 120,000 - 180,000; Full time

Benefits offered by this job

Fully remote work

Competitive compensation with bonuses

Health insurance

Retirement plan

Professional development budget

Job summary

Placements24 is seeking a Data Scientist specializing in Machine Learning to join a remote-first data analytics firm. You will develop and deploy predictive models and AI solutions that drive critical business insights and product innovation.

This role requires a strong foundation in statistical modeling, ML algorithms, and data manipulation, with the ability to translate complex findings into actionable recommendations.

Qualifications

• Master's or PhD in a quantitative field (CS/Stats/Math).
• 5+ years in data science with a focus on ML.
• Proficiency in Python or R and ML libraries (TensorFlow/PyTorch/scikit-learn).
• Strong understanding of ML algorithms (supervised/unsupervised/deep learning).

Responsibilities

• Design, develop, and deploy ML models to solve complex business problems.
• Analyze large datasets to identify patterns and insights using statistical techniques.
• Build and maintain data pipelines for model training, validation, and deployment.
• Evaluate and optimize model performance for accuracy and scalability.
• Collaborate with engineering/product teams to deploy models into production.
• Communicate findings to technical and non-technical stakeholders.
• Stay updated with ML research and developments.
• Develop data visualizations to present findings clearly.

Skills

Statistical modelling

Machine learning

Data analysis

Python or R

ML libraries

SQL

Cloud ML

Education

Master's or PhD in a quantitative field

Tools

TensorFlow

PyTorch

scikit-learn

Spark

Hadoop

SQL

AWS/Azure/GCP

Docker

Job description

About the Role

Our client, a cutting-edge data analytics firm, is looking for a talented Data Scientist with a specialization in Machine Learning to join their fully remote team. You will be at the forefront of developing and deploying advanced predictive models and AI solutions that drive critical business insights and product innovation. This role requires a strong foundation in statistical modeling, machine learning algorithms, and data manipulation, along with the ability to translate complex findings into actionable recommendations. As a remote-first organization, we value autonomy, collaboration, and continuous learning. This is an exciting opportunity to apply your expertise to challenging datasets and contribute to the development of next-generation data-driven products.

Key Responsibilities

• Design, develop, and implement machine learning models and algorithms to solve complex business problems.
• Analyze large datasets to identify patterns, trends, and insights using statistical techniques.
• Build and maintain data pipelines for model training, validation, and deployment.
• Evaluate and optimize model performance, ensuring accuracy, efficiency, and scalability.
• Collaborate with engineering and product teams to integrate ML models into production systems.
• Communicate complex analytical findings and model results to both technical and non-technical stakeholders.
• Stay abreast of the latest research and advancements in machine learning and artificial intelligence.
• Develop data visualizations to effectively present findings and insights.
• Contribute to the team's knowledge base through documentation and code sharing.
• Proactively identify opportunities for applying ML techniques to enhance business processes and products.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 5 years of experience in data science, with a significant focus on machine learning.
• Proficiency in programming languages such as Python or R, and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong understanding of various machine learning algorithms (supervised, unsupervised, deep learning) and their applications.
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
• Ability to effectively clean, transform, and prepare large datasets for analysis.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain technical concepts clearly.
• Proven ability to work independently and collaboratively in a remote setting.
• Experience with cloud platforms (AWS, Azure, GCP) for ML workloads is a plus.

Benefits

• Highly competitive salary and performance-based bonuses.
• Fully remote work arrangement offering significant flexibility.
• Comprehensive health, dental, and vision insurance coverage.
• Retirement savings plan with company contribution.
• Generous budget for professional development, conferences, and training.
• Opportunity to work on impactful projects with a leading-edge company.
• Collaborative and intellectually stimulating work environment.
• Paid time off and holidays.